Нейросетевая система диагностики аллергического и инфекцион-ного ринита у детей
Goal. To develop a system for differential diagnosis of rhinitis allergic and infectious etiologies. Materials and methods. Data 217 pediatric patients with infectious and allergic rhinitis were used to construct a diagnostic system based on neural network technology. Results. Created the system of the differential diagnosis, allowing using a minimal number of input parameters with high precision to make the diagnosis "infectious rhinitis and allergic rhinitis". The virtual computer experiments to assess the role of passive Smoking on the prognosis of these diseases have shown conflicting results, requiring further investigation. Conclusions. The developed diagnostic system can be used on the principle of "pre-diagnosis of allergic rhinitis without the allergist", work pediatricians, internists, General practitioners, and also for screening diagnosis in terms of "health centres".